{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["tool", "time", "place", "attacker", "trusted entity", "attack pattern", "purpose", "damage amount", "victim"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "victim", "place", "purpose", "tool", "number of data", "attacker", "damage amount", "attack pattern", "time"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "vulnerability", "capabilities", "supported platform", "common vulnerabilities and exposures", "vulnerable system owner", "vulnerable system"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["time", "vulnerable system version", "issues addressed", "common vulnerabilities and exposures", "vulnerability", "patch", "patch number", "vulnerable system", "releaser"]}, {"event_type": "ransom", "trigger": true, "arguments": ["price", "payment method", "time", "damage amount", "attack pattern"]}], "input": "⬭ Emails that looked like a friend was sharing interesting news stories ."}
{"phishing": [{"trigger": "looked like", "arguments": {"tool": "Emails", "time": "NAN", "place": "NAN", "attacker": "NAN", "trusted entity": "a friend", "attack pattern": "NAN", "purpose": "NAN", "damage amount": "NAN", "victim": "NAN"}}], "data breach": [], "discover vulnerability": [], "patch vulnerability": [], "ransom": []}